CN109696248A - A kind of automatic compensating method of the human body inspection and quarantine system temperature based on environment temperature - Google Patents
A kind of automatic compensating method of the human body inspection and quarantine system temperature based on environment temperature Download PDFInfo
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- CN109696248A CN109696248A CN201811429892.1A CN201811429892A CN109696248A CN 109696248 A CN109696248 A CN 109696248A CN 201811429892 A CN201811429892 A CN 201811429892A CN 109696248 A CN109696248 A CN 109696248A
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- 238000007689 inspection Methods 0.000 title claims abstract description 19
- 238000005259 measurement Methods 0.000 claims abstract description 26
- 238000013507 mapping Methods 0.000 claims abstract description 23
- 206010037660 Pyrexia Diseases 0.000 claims description 5
- 230000036760 body temperature Effects 0.000 description 2
- 230000007423 decrease Effects 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 238000012549 training Methods 0.000 description 2
- 230000006978 adaptation Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000033228 biological regulation Effects 0.000 description 1
- 238000009529 body temperature measurement Methods 0.000 description 1
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- 230000004962 physiological condition Effects 0.000 description 1
- 238000001931 thermography Methods 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/02—Constructional details
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/0022—Radiation pyrometry, e.g. infrared or optical thermometry for sensing the radiation of moving bodies
- G01J5/0025—Living bodies
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/02—Constructional details
- G01J5/06—Arrangements for eliminating effects of disturbing radiation; Arrangements for compensating changes in sensitivity
- G01J5/068—Arrangements for eliminating effects of disturbing radiation; Arrangements for compensating changes in sensitivity by controlling parameters other than temperature
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- G—PHYSICS
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
- G06F18/2411—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on the proximity to a decision surface, e.g. support vector machines
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Abstract
The present invention relates to a kind of automatic compensating method of the human body inspection and quarantine system temperature based on environment temperature, the described method includes: measuring the shell temperature of crowd at a temperature of acquisition varying environment, the actual measurement shell temperature mean value that measurement crowd at a temperature of varying environment is calculated by the shell temperature determines fitting shell temperature mean value according to actual measurement shell temperature mean value；According to environment temperature and shell temperature mean value, Hyperplane fit is carried out using Linear SVM regression model, obtains the hyperplane mapping coefficient of mapping relations；It is calculated at different ambient temperatures using hyperplane mapping coefficient, the temperature difference compensation value of different shell temperatures realizes the automatic compensation based on environment temperature.The present invention can compensate different offsets to shell temperature according to variation of ambient temperature, can realize temperature self-compensation at a temperature of varying environment.
Description
Technical field
The present invention relates to the intelligent measurement fields of infrared thermal imaging field of temperature measurement, and in particular to a kind of human body inspection and quarantine system
System automatic compensating method of the temperature based on environment temperature.
Background technique
Inspection and quarantine for inlet and outlet memory environment and personal safety protection be play the role of it is critically important, it is special in China
Provided with entry and exit inspection and quarantine bureau, test quarantine to the personnel of entry and exit, traditional infrared human body inspection and quarantine system
Fixed compensation value usually is set to shell temperature；Variation of ambient temperature needs to manually adjust parameter, body temperature after adaptation circumstance temperature variation
Variation.
Summary of the invention
In order to solve the above technical problems, the present invention provide a kind of human body inspection and quarantine system temperature based on environment temperature from
Dynamic compensation method, compensates different offsets to shell temperature according to variation of ambient temperature, technical solution of the present invention is such as
Under:
A kind of automatic compensating method of the human body inspection and quarantine system temperature based on environment temperature, which comprises
The shell temperature that crowd is measured at a temperature of acquisition varying environment, calculates varying environment temperature by the shell temperature
The actual measurement shell temperature mean value for spending lower measurement crowd determines fitting shell temperature mean value according to actual measurement shell temperature mean value；
According to environment temperature and shell temperature mean value, Hyperplane fit is carried out using Linear SVM regression model, is mapped
The hyperplane mapping coefficient of relationship；
It is calculated at different ambient temperatures using hyperplane mapping coefficient, the temperature difference compensation value of different shell temperatures is realized
Automatic compensation based on environment temperature.
Further, the method also includes:
Go out to survey shell temperature standard deviation according to the actual measurement shell temperature mean value computation, according to actual measurement shell temperature standard
Difference determines fitting shell temperature standard deviation；
Reasonable shell temperature model is calculated according to the actual measurement shell temperature mean value and the fitting shell temperature standard deviation
The minimum value of the maximum value and reasonable shell temperature range enclosed.
Further, the maximum value that reasonable shell temperature range is calculated according to the fitting shell temperature standard deviation
Following formula (one) and formula (two) are specifically used with the minimum value of reasonable shell temperature range, exceeds reasonable shell temperature range
Maximum value then need to carry out fever prediction；
Formula (one): fTempShellMax=fTempShellMean+fTempShellStd*fStdCoefHigh,
Formula (two): fTempShellMin=fTempShellMean+fTempShellStd*fStdCoefLow,
Wherein, fTempShellMax is the maximum value of reasonable shell temperature range, and fTempShellMin is reasonable body surface
The minimum value of temperature range, fTempShellStd are the standard deviation fTempShellStd ∈ for being fitted resulting varying environment temperature
[0,1], fTempShellMean are actual measurement shell temperature mean value, and fStdCoefHigh is temperature range upper limit control coefrficient, are taken
It is worth range [0.1,3.0], fStdCoefLow is temperature range lower limit control coefrficient, value range [- 3.0,0], default value
FStdCoefHigh=1.0, default value fStdCoefLow=-1.0.
Further, described to be calculated at different ambient temperatures using mapping coefficient, the temperature difference compensation of different shell temperatures
Value specifically uses following formula (three):
Formula (three): fTempComp=W1*fTempAmbient+W2*fTempShell+B,
Wherein, fTempAmbient is environment temperature, and fTempShell is shell temperature, and W1, W2, B indicate that hyperplane reflects
Coefficient is penetrated, B is a real number, represents hyperplane to the distance of origin, W1 is the coefficient of environment temperature fTempAmbient, and W2 is
The coefficient of shell temperature fTempShell.
Further, the method also includes:
When shell temperature is within the scope of reasonable shell temperature, auxillary temperature estimated value is calculated according to temperature difference compensation value,
It is expressed as following formula (four):
Formula (four): fTemArmpit=fTempshell+fTempComp,
Wherein ftempShellMin≤fTempshell≤ftempShellMax.
Further, the method also includes:
When shell temperature is greater than the maximum value of reasonable shell temperature range, auxillary temperature is calculated according to temperature difference compensation value
Estimated value is expressed as following formula (five):
Formula (5):
FTemArmpit=fTempshell+fTempComp+ (fTempshell-fTempShellMax),
Wherein, fTempshell >=ftempShellMax.
Further, it when shell temperature is less than the minimum value of reasonable shell temperature range, is calculated according to temperature difference compensation value
Auxillary temperature estimated value out is expressed as following formula (six):
Formula (six):
FTemArmpit=fTempshell+fTempComp+ (fTempshell-fTempShellMin),
Wherein, fTempshell≤ftempShellMin.
According to environment temperature and fitting shell temperature mean value, Hyperplane fit is carried out using Linear SVM regression model, is obtained
The hyperplane mapping coefficient of one group of new mapping relations；
It is calculated at different ambient temperatures using new hyperplane mapping coefficient, the fitting temperature difference compensation of different shell temperatures
Value；
Fitting auxillary temperature estimated value is calculated according to fitting temperature difference compensation value.
Beneficial effects of the present invention:
The present invention acquires body surface temperature at a temperature of a large amount of varying environments, and analysis obtains body at a temperature of varying environment
The reasonable layout range of table temperature carries out data training according to environment temperature and the two variables of shell temperature, passes through Linear SVM
Regression model carries out Hyperplane fit, obtains weight coefficient W1, W2 and B of mapping relations, is calculated using mapping coefficient in difference
Under environment temperature, the temperature difference compensation value of different shell temperatures, and the temperature other than shell temperature zone of reasonableness is handled, really
The Normal Alarm of fever personnel temperature is protected, the present invention compensates different compensation to shell temperature according to variation of ambient temperature
Value, makes displays temperature all-the-time stable in normal human body temperature section.
Detailed description of the invention
Fig. 1 is a kind of automatic compensating method of the inspection and quarantine system temperature based on environment temperature provided in an embodiment of the present invention
Flow chart；
Fig. 2 is body surface temperature mean value and matched curve at a temperature of varying environment provided in an embodiment of the present invention；
Fig. 3 is bent for the distribution and fitting of body surface temperature standard difference at a temperature of varying environment provided in an embodiment of the present invention
Line；
Fig. 4 is the hyperplane provided in an embodiment of the present invention that auxillary temperature is estimated using environment temperature and shell temperature；
Fig. 5 is that the fitting provided in an embodiment of the present invention using environment temperature and shell temperature estimation auxillary temperature is super flat
Face.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiment is only present invention a part, instead of all the embodiments.Based on the present invention
In embodiment, all other implementation obtained by those of ordinary skill in the art without making creative efforts
Example, shall fall within the protection scope of the present invention.
As described in Figure 1, automatic compensation of a kind of human body inspection and quarantine system temperature based on environment temperature provided by the invention
Method, which comprises
The shell temperature that crowd is measured at a temperature of acquisition varying environment, calculates varying environment temperature by the shell temperature
The actual measurement shell temperature mean value for spending lower measurement crowd determines fitting shell temperature mean value according to actual measurement shell temperature mean value；
According to environment temperature and shell temperature mean value, Hyperplane fit is carried out using Linear SVM regression model, is mapped
The hyperplane mapping coefficient of relationship；
It is calculated at different ambient temperatures using hyperplane mapping coefficient, the temperature difference compensation value of different shell temperatures is realized
Automatic compensation based on environment temperature.
Preferably, the method also includes:
Go out to survey shell temperature standard deviation according to the actual measurement shell temperature mean value computation, according to actual measurement shell temperature standard
Difference determines fitting shell temperature standard deviation；
Reasonable shell temperature model is calculated according to the actual measurement shell temperature mean value and the fitting shell temperature standard deviation
The minimum value of the maximum value and reasonable shell temperature range enclosed.
Preferably, it is described according to it is described fitting shell temperature standard deviation calculate reasonable shell temperature range maximum value and
The minimum value of reasonable shell temperature range specifically uses following formula (one) and formula (two), beyond reasonable shell temperature range
Maximum value then needs to carry out fever prediction；
Formula (one): fTempShellMax=fTempShellMean+fTempShellStd*fStdCoefHigh,
Formula (two): fTempShellMin=fTempShellMean+fTempShellStd*fStdCoefLow,
Wherein, fTempShellMax is the maximum value of reasonable shell temperature range, and fTempShellMin is reasonable body surface
The minimum value of temperature range, fTempShellStd are the standard deviation fTempShellStd ∈ for being fitted resulting varying environment temperature
[0,1], fTempShellMean are actual measurement shell temperature mean value, and fStdCoefHigh is temperature range upper limit control coefrficient, are taken
It is worth range [0.1,3.0], fStdCoefLow is temperature range lower limit control coefrficient, value range [- 3.0,0], default value
FStdCoefHigh=1.0；Default value fStdCoefLow=-1.0.
Fig. 2 show the distribution situation of the shell temperature measured at a temperature of varying environment, wherein horizontal axis indicates ring
Border temperature, vertical coordinate axle indicate the shell temperature mean value of thermometric crowd at a temperature of varying environment, and overall distribution situation is with ring
Border temperature DEG C is gradually warmed up from 5 DEG C to 37, and shell temperature gradually rises, but after being raised to the normal shell temperature of physiological condition,
It no longer increases, the body surface distribution of each environment temperature gradually tends to concentrate, i.e. shell temperature fluctuation range is gradually reduced, from environment
4.7 DEG C of fluctuation ranges at 6 DEG C of temperature gradually decrease to 0.8 DEG C of fluctuation range at 37 DEG C of environment temperature；
For fixing under some environment temperature, there is shell temperature to obtain mean value and its standard deviation, standard deviation is with environment temperature
Distribution situation it is as shown in Figure 3, wherein horizontal axis indicate environment temperature, vertical coordinate axle indicate varying environment at a temperature of
Shell temperature standard deviation, as environment temperature is spent from 5 to 37, shell temperature standard deviation gradually decreases to 0.2 from 0.9, with ring
For 5 DEG C of border temperature, shell temperature distribution [30.5,33.7] DEG C, range reaches 3.2 DEG C, is distributed mean value
FTempShellMean=32.415 DEG C, fTempShellStd=0.8069 DEG C of standard deviation (main source: experiment condition difference
Caused by group difference caused by group difference and measurement error), if tester generates heat, should be greater than reasonable shell temperature model
FTempShellMax=33.2219 DEG C of the maximum value enclosed is obtained by 32.415 DEG C with 0.8069 DEG C of summation, all to be greater than
33.2219 DEG C of shell temperature is possible to generate heat, and needs to carry out fever prediction, and since test sample is limited, standard deviation can be with
Increase parameter regulation function.
Preferably, in the case where not considering environment temperature, shell temperature and the practical temperature difference are linear, using linear
SVM regression model carries out Hyperplane fit, obtains weight coefficient W1, W2 and B of mapping relations, can be calculated using mapping coefficient
At different ambient temperatures, the temperature difference compensation value of different shell temperatures specifically uses following formula (three):
Formula (three): fTempComp=W1*fTempAmbient+W2*fTempShell+B,
Wherein, fTempAmbient is environment temperature, and fTempShell is shell temperature, and W1, W2, B indicate that hyperplane reflects
Coefficient is penetrated, B is a real number, represents hyperplane to the distance of origin, W1 is the coefficient of environment temperature fTempAmbient, and W2 is
The coefficient of shell temperature fTempShell.
Preferably, auxillary temperature estimated value is calculated according to temperature difference compensation value, is expressed as formula (4):
According to the prediction hyperplane for the environment temperature adjustment model that formula (4) obtains, as shown in Figure 4.
As can be seen from Figure 4 consistent with temperature changing trend, there is fluctuation, the reason is that caused by temperature measuring equipment error,
We are fitted data body surface mean value with mean square deviation thus, regenerate environment temperature and shell temperature estimates auxillary temperature
Hyperplane, as shown in figure 5, using the shell temperature mean value and its environment temperature of fitting using the new coefficient of Linear SVM training,
New hyperplane coefficient W1, W2 and B of prediction auxillary temperature and the shell temperature temperature difference can be calculated, then bring formula (3) into
(4) auxillary temperature estimated value is obtained, the fitting hyperplane of environment temperature and shell temperature estimation auxillary temperature, such as Fig. 5 are obtained
Shown, at a temperature of obtaining varying environment accordingly, the warm armpit angle value of different shell temperatures realizes temperature-compensating.
The foregoing is merely presently preferred embodiments of the present invention, is not intended to limit the invention, it is all in spirit of the invention and
Within principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (8)
1. a kind of automatic compensating method of the human body inspection and quarantine system temperature based on environment temperature, which is characterized in that the method
Include:
The shell temperature that crowd is measured at a temperature of varying environment is acquired, at a temperature of calculating varying environment by the shell temperature
The actual measurement shell temperature mean value of measurement crowd determines fitting shell temperature mean value according to actual measurement shell temperature mean value；
According to environment temperature and shell temperature mean value, Hyperplane fit is carried out using Linear SVM regression model, obtains mapping relations
Hyperplane mapping coefficient；
It is calculated at different ambient temperatures using hyperplane mapping coefficient, the temperature difference compensation value of different shell temperatures, realization is based on
The automatic compensation of environment temperature.
2. automatic compensating method of the human body inspection and quarantine system temperature based on environment temperature according to claim 1, special
Sign is, the method also includes:
Go out to survey shell temperature standard deviation according to the actual measurement shell temperature mean value computation, it is true according to actual measurement shell temperature standard deviation
Surely it is fitted shell temperature standard deviation；
Reasonable shell temperature range is calculated according to the actual measurement shell temperature mean value and the fitting shell temperature standard deviation
The minimum value of maximum value and reasonable shell temperature range.
3. automatic compensating method of the human body inspection and quarantine system temperature based on environment temperature according to claim 2, special
Sign is, it is described according to the fitting shell temperature standard deviation calculate reasonable shell temperature range maximum value and reasonable body surface
The minimum value of temperature range specifically uses following formula (one) and formula (two), and the maximum value beyond reasonable shell temperature range is then
It needs to carry out fever prediction；
Formula (one): fTempShellMax=fTempShellMean+fTempShellStd*fStdCoefHigh,
Formula (two): fTempShellMin=fTempShellMean+fTempShellStd*fStdCoefLow,
Wherein, fTempShellMax is the maximum value of reasonable shell temperature range, and fTempShellMin is reasonable shell temperature
The minimum value of range, fTempShellStd be fitted resulting varying environment temperature standard deviation fTempShellStd ∈ [0,
1], fTempShellMean is actual measurement shell temperature mean value, and fStdCoefHigh is temperature range upper limit control coefrficient, value model
It encloses [0.1,3.0], fStdCoefLow is temperature range lower limit control coefrficient, value range [- 3.0,0], default value
FStdCoefHigh=1.0, default value fStdCoefLow=-1.0.
4. automatic compensating method of the human body inspection and quarantine system temperature based on environment temperature according to claim 3, special
Sign is that described to calculate at different ambient temperatures using mapping coefficient, the temperature difference compensation value of different shell temperatures specifically uses
Following formula (three):
Formula (three): fTempComp=W1*fTempAmbient+W2*fTempShell+B,
Wherein, fTempAmbient is environment temperature, and fTempShell is shell temperature, and W1, W2, B indicate hyperplane mapping system
Number, B is a real number, represents hyperplane to the distance of origin, W1 is the coefficient of environment temperature fTempAmbient, and W2 is body surface
The coefficient of temperature fTempShell.
5. automatic compensating method of the human body inspection and quarantine system temperature based on environment temperature according to claim 4, special
Sign is, the method also includes:
When shell temperature is within the scope of reasonable shell temperature, auxillary temperature estimated value is calculated according to temperature difference compensation value, is indicated
For following formula (four):
Formula (four): fTemArmpit=fTempshell+fTempComp,
Wherein ftempShellMin≤fTempshell≤ftempShellMax.
6. automatic compensating method of the human body inspection and quarantine system temperature based on environment temperature according to claim 4, special
Sign is, the method also includes:
When shell temperature is greater than the maximum value of reasonable shell temperature range, auxillary temperature estimation is calculated according to temperature difference compensation value
Value, is expressed as following formula (five):
Formula (5):
FTemArmpit=fTempshell+fTempComp+ (fTempshell-fTempShellMax),
Wherein, fTempshell >=ftempShellMax.
7. automatic compensating method of the human body inspection and quarantine system temperature based on environment temperature according to claim 4, special
Sign is, when shell temperature is less than the minimum value of reasonable shell temperature range, calculates auxillary temperature according to temperature difference compensation value
Estimated value is expressed as following formula (six):
Formula (six):
FTemArmpit=fTempshell+fTempComp+ (fTempshell-fTempShellMin),
Wherein, fTempshell≤ftempShellMin.
8. automatic compensating method of the human body inspection and quarantine system temperature based on environment temperature according to claim 4, special
Sign is, the method also includes:
According to environment temperature and fitting shell temperature mean value, Hyperplane fit is carried out using Linear SVM regression model, obtains one group
The hyperplane mapping coefficient of new mapping relations；
It is calculated at different ambient temperatures using new hyperplane mapping coefficient, the fitting temperature difference compensation value of different shell temperatures；
Fitting auxillary temperature estimated value is calculated according to fitting temperature difference compensation value.
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| CN111458031A (en) * | 2020-04-08 | 2020-07-28 | 深圳市大树人工智能科技有限公司 | Non-contact remote measurement method for measuring and calculating body temperature |
| CN111738215A (en) * | 2020-07-21 | 2020-10-02 | 深圳市视美泰技术股份有限公司 | Human body temperature measuring method and computer equipment |
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| CN111738215A (en) * | 2020-07-21 | 2020-10-02 | 深圳市视美泰技术股份有限公司 | Human body temperature measuring method and computer equipment |
| CN111859300A (en) * | 2020-07-24 | 2020-10-30 | 深圳智云人工智能科技有限公司 | Method and device for improving forehead temperature gun temperature precision, computer equipment and storage medium |
| CN111964797A (en) * | 2020-08-27 | 2020-11-20 | 广东天波信息技术股份有限公司 | Temperature measuring equipment self-learning temperature measuring method, temperature measuring system and temperature measuring equipment |
| CN111928953A (en) * | 2020-09-15 | 2020-11-13 | 深圳市商汤科技有限公司 | Temperature measuring method and device, electronic equipment and storage medium |
| WO2022120563A1 (en) * | 2020-12-08 | 2022-06-16 | 深圳迈瑞生物医疗电子股份有限公司 | Temperature prediction method and apparatus, and storage medium |
| CN112798127A (en) * | 2020-12-29 | 2021-05-14 | 锐捷网络股份有限公司 | Temperature measurement method and temperature measurement bracelet |
| CN113268917A (en) * | 2021-04-29 | 2021-08-17 | 杭州魔点科技有限公司 | Temperature measurement method, system, electronic device and storage medium |
| CN113280926A (en) * | 2021-05-19 | 2021-08-20 | 广东天波信息技术股份有限公司 | Temperature measurement method and temperature measurement equipment |
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